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Healthcare AI evaluation

Clinical judgment, documented.

Healthcare AI evaluation and expert training support.

Evaluation and response review

Structured evaluation of model outputs against agreed clinical and communication criteria, with clear, documented findings.

  • Clinical content

    Evaluate AI-generated clinical content for nursing accuracy and potential patient safety concerns, using agreed references.

  • Patient education

    Review patient education materials for clinical appropriateness, clarity, tone and health literacy.

  • Triage guidance

    Assess AI-generated triage guidance against agreed nursing practice standards and approved protocols, including urgency and escalation.

  • Clinical documentation

    Review clinical documentation for accuracy, completeness and fidelity to the supplied clinical context.

Expert examples and annotation

Expert-authored examples and annotations to support agreed AI training and evaluation tasks.

  • Fictional scenarios

    Develop original fictional examples related to nursing workflows, triage and patient education.

  • Expert demonstrations

    Create expert demonstrations reflecting real-world nursing workflows and clinical judgment.

  • Response ranking

    Rank and label AI model responses against agreed criteria informed by nursing best practices.

  • Structured feedback

    Provide structured evaluations based on professional nursing experience, with supporting rationale and suggested corrections.

From a defined task to documented findings

  1. 01

    Scope

    Define the content, use case, reference sources and evaluation questions.

  2. 02

    Evaluate

    Review for accuracy, potential safety concerns, completeness and clinical fit.

  3. 03

    Report

    Summarize findings with clear examples, supporting rationale and suggested corrections.

  4. 04

    Retest

    Review agreed revisions and document remaining issues.

Sources and criteria are agreed before review. Exact inputs and outputs are retained where model testing is included. Findings distinguish observed issues, uncertainty and untested assumptions.

What the engagement can include

  • A written scope and source/criteria register.
  • Annotated responses, criterion ratings and a findings register.
  • A review summary with rationale, suggested corrections and limitations.
  • A before-and-after comparison when retesting is included in scope.

Training support means expert examples, annotation and feedback. Review findings support the client's evaluation process; they do not certify a product's clinical safety or regulatory compliance.

Pilot

A focused evaluation pilot.

One workflow. Agreed criteria. Documented findings.

Scope and criteria agreed before review begins.

Discuss your review task